AI in Manufacturing is a topic of growing importance in many area such as smart manufacturing and Industry 4.0. This section presents references on on-going projects, pilot experiments in the field and initial results in that area.
The DIDA (Digital Industry Data Analytics) Platform is an OSS Digital Manufacturing Platform, aiming to become a reference implementation for any Industry 4.0 Data Analytics need, enabling the development of applications in several industrial domains.
COALA acronym stands for “COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy AI.” Our squad at IDE, TU Delft is developing a solution for cognitive assistance in industrial manufacturing settings that combines trustworthy-AI...
The Semantic Middleware is a solution of middleware that acts as a connector mediating data exchanges between shop-floor data producers (publishers) and data consumers (subscribers), thus contributing to enhance the level of interoperability of the moder...
Identify common goals between academia and the manufacturing sector as well as other relevant stakeholders, and define promising approaches for European research and innovation in Trustworthy AI.
Identify common goals between academia and the manufacturing sector as well as other relevant stakeholders, and define promising approaches for European research and innovation in Trustworthy AI.
A data set of 1.8 billion measurements from a mechanical wrist with three axes that can hold tools, for example, for spray painting in combination with a pump. The data set spans six months in 1-second intervals.
A data set of 380 million measurements from a hydraulic pump that can be mounted on an industrial robot, for example, to pump liquid paint for spray painting. The data set spans two months in 1-second intervals.